agent is by get-convex — not by us.
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Indexed Sep 28, 2026 · 357 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
AI agent · for humans & their agents
agent
unclaimed listingactively maintainedFreeApache-2.0
Build AI agents on Convex with persistent chat history
by Open Source Community · New publisher
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get-convex/agent is an open-source project by get-convex: Build AI agents on Convex with persistent chat history. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/get-convex/agent
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
Convex Agent Component
Build AI agents on Convex with persistent chat threads, tool calling, streaming, and RAG. Long-running agent workflows stay separate from the UI while clients keep reactive updates.
AI Agents, built on Convex. Check out the docs here.
The Agent component manages threads and messages that agents can use in static or dynamic workflows. • Agents provide an abstraction for using LLMs to represent units of use-case-specific prompting with associated models, prompts, Tool Calls, and behavior in relation to other Agents, functions, APIs, and more. • Threads persist messages and can be shared by multiple users and agents (including human agents). • Streaming text and objects using deltas over websockets so all clients stay in sync efficiently, without http streaming. Enables streaming from async functions. • Conversation context is automatically included in each LLM call, including built-in hybrid vector/text search for messages in the thread and opt-in search for messages from other threads (for the same specified user). • RAG techniques are supported for prompt augmentation from other sources, either up front in the prompt or as tool calls. Integrates with the RAG Component, or DIY. • Workflows allow building multi-step operations that can span agents, users, durably and reliably. • Files are supported in thread history with automatic saving to file storage and ref-counting. • Debugging is enabled by callbacks, the agent playground where you can inspect all metadata and iterate on prompts and context settings, and inspection in the dashboard. • Usage tracking is easy to set up, enabling usage attribution per-provider, per-model, per-user, per-agent, for billing & more. • Rate limiting, powered by the Rate Limiter…
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01Capabilities
Does
- No capabilities recorded
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
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Issues 0
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04Trust Passport
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Sep 28, 2026 | Indexed listing — see the upstream repository for real release history. |